Triple

T20357354
Position Surface form Disambiguated ID Type / Status
Subject Saku Parish E496684 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Saku
Saku is a small town in northern Estonia known for its role as a local administrative center and for its historic brewery.
E1426765 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Saku | Statement: [Saku Parish, hasAdministrativeCentre, Saku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saku
Context triple: [Saku Parish, hasAdministrativeCentre, Saku]
  • A. Saku
    Saku is a Finnish given name most notably borne by former NHL and Montreal Canadiens captain Saku Koivu.
  • B. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • C. Sakari
    Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
  • D. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • E. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saku
Triple: [Saku Parish, hasAdministrativeCentre, Saku]
Generated description
Saku is a small town in northern Estonia known for its role as a local administrative center and for its historic brewery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saku
Target entity description: Saku is a small town in northern Estonia known for its role as a local administrative center and for its historic brewery.
  • A. Saku
    Saku is a Finnish given name most notably borne by former NHL and Montreal Canadiens captain Saku Koivu.
  • B. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • C. Sakari
    Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
  • D. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • E. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67854c0448190ab10363f8a218afb completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087081a8d88190a0144632eab72309 completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 completed May 16, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a087213a0408190a9b553323d7ced1f completed May 16, 2026, 1:33 p.m.
Created at: April 16, 2026, 11:25 a.m.